Unit Testing Tutorial - 2 | Unit Testing in Data Science and Data Engineering

What is Unit testing? Why should you use Unit testing in Data Science and Data Engineering? Well, the idea of unit tests is to test a unit of code. Also unit tests are the easiest tests to implement and provide you with a very good amount of peace of mind. Some might say unit tests don’t really apply to data science or data engineering. I personally use them quite often. For example, in data engineering, whenever you have some sort of data transformation... this is a good case for a unit test.
In the last video we've talked about general software testing and differences between Unit Testing, Integration testing, and End2End testing. In this unit testing tutorial I show you examples of unit tests in python.
Unit Testing Tutorial - 1 | Why you should use Unit Testing
• Unit Testing Tutorial ...
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Awesome Data science without much math and everything you need to know to deploy your machine learning models!
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[@toluowolabi7370]

Amazing! Thank you for this video, I can't wait to watch the rest and learn from your experience.

[@buildwithtom]

Awesome video. Love seeing software engineers looking at data science processes with experienced eyes. We data scientists have much to learn from your experience :)

[@JohannesFrey]

Hey :) … thank you ver much for your kind words :)

[@BillusTinnus]

This video should have more views! Great stuff, thank you!

[@JohannesFrey]

Hey, thank you very much. Your kind words are really appreciated 😊

[@dddrrr7139]

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